Question

Win 7，x64，Python 2.7.12

在下面的代码中，我将通过multiprocessing.Pool.map()方法设置一些池进程以进行简单的乘法运算。输出数据收集在List_1。

中

注意：这是我的实际代码的简化。实际应用程序中涉及多个列表，都非常庞大。

import multiprocessing
import numpy as np

def createLists(branches):

    firstList = branches[:] * node

    return firstList


def init_process(lNodes):

    global node
    node = lNodes
    print 'Starting', multiprocessing.current_process().name


if __name__ == '__main__':

    mgr = multiprocessing.Manager()
    nodes = mgr.list()
    pool_size = multiprocessing.cpu_count()

    branches = [i for i in range(1, 21)]
    lNodes = 10
    splitBranches = np.array_split(branches, int(len(branches)/pool_size))

    pool = multiprocessing.Pool(processes=pool_size, initializer=init_process, initargs=[lNodes])
    myList_1 = pool.map(createLists, splitBranches)

    pool.close() 
    pool.join()

我现在为createLists()＆amp;添加额外的计算尝试传回两个列表。

import multiprocessing
import numpy as np

def createLists(branches):

    firstList = branches[:] * node
    secondList = branches[:] * node * 2

    return firstList, secondList


def init_process(lNodes):
    global node
    node = lNodes
    print 'Starting', multiprocessing.current_process().name


if __name__ == '__main__':

    mgr = multiprocessing.Manager()
    nodes = mgr.list()
    pool_size = multiprocessing.cpu_count()

    branches = [i for i in range(1, 21)]
    lNodes = 10
    splitBranches = np.array_split(branches, int(len(branches)/pool_size))

    pool = multiprocessing.Pool(processes=pool_size, initializer=init_process, initargs=[lNodes])
    myList_1, myList_2 = pool.map(createLists, splitBranches)

    pool.close() 
    pool.join()

这引发了跟随错误＆amp;回溯..

Traceback (most recent call last):

  File "<ipython-input-6-ff188034c708>", line 1, in <module>
    runfile('C:/Users/nr16508/Local Documents/Inter Trab Angle/Parallel/scratchpad.py', wdir='C:/Users/nr16508/Local Documents/Inter Trab Angle/Parallel')

  File "C:\Users\nr16508\AppData\Local\Continuum\Anaconda2\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
    execfile(filename, namespace)

  File "C:\Users\nr16508\AppData\Local\Continuum\Anaconda2\lib\site-packages\spyder\utils\site\sitecustomize.py", line 87, in execfile
    exec(compile(scripttext, filename, 'exec'), glob, loc)

  File "C:/Users/nr16508/Local Documents/Inter Trab Angle/Parallel/scratchpad.py", line 36, in <module>
    myList_1, myList_2 = pool.map(createLists, splitBranches)

ValueError: too many values to unpack

当我试图将两个列表放入一个传回来时...

return [firstList, secondList]
......
myList = pool.map(createLists, splitBranches)

...输出变得太混乱，无法进一步处理。

是否有一种从池化流程中收集多个列表的方法？

Answer 1

此问题与多处理或线程池无关。它只是关于如何解压缩列表，这可以使用标准的zip(*...)习语来完成。

myList_1, myList_2 = zip(*pool.map(createLists, splitBranches))

从pool.map进程返回多个列表？

1 个答案: